A low-cost car vibration acquisition system

Chiculita, Claudiu; Frangu, Laurenţiu

doi:10.1109/siitme.2015.7342341

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…Apart from road infrastructure analyses, MEMS-based solutions are applied to research the mutual influence on both roads and vehicles as in [ 13 , 14 ]. The authors of [ 13 ] measured vehicle-road interaction with a high sampling rate and better position accuracy, whereas the authors of [ 14 ] developed MEMS-based system in order to assess the condition of the pavement, the condition of the vehicle, and the passengers’ comfort.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The above-described brief literature review can be summarized by indication of general topics considered in the research connected to MEMS sensors used in road transport. These topics are as follows: Measurements of actual roadways’ state [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 12 , 14 ]; Mutual influence analyses on both roads and vehicles [ 13 , 14 ]; Traffic safety, support, and distribution [ 15 , 16 , 17 , 18 ]; Automatic early warning systems in the case of accident incidence on a road system [ 7 , 17 , 19 , 21 , 22 , 23 ]; Measurements of actual vehicle state [ 9 , 10 , 11 , 12 , 13 , 18 , 25 , 29 , 30 , 31 , 34 , 35 , 42 , 43 , 53 , 54 , 55 , 61 , 62 , 63 , 64 ]; Correction of positioning errors and other measuring inadequacy in road transport MEMS-based applications [ 11 …”

Section: Literature Reviewmentioning

confidence: 99%

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Application of MEMS Sensors for Evaluation of the Dynamics for Cargo Securing on Road Vehicles

Gnap

Jagelčák

Marienka

et al. 2021

Sensors

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Safety is one of the key aspects of the successful transport of cargo. In the case of road transport, the dynamics of a vehicle during normal events such as braking, steering, and evasive maneuver are variable in different places in the vehicle. Several manufacturers provide different dataloggers with acceleration sensors, but the results are not comparable due to different sensor parameters, measurement ranges, sampling frequencies, data filtration, and evaluation of different periods of acceleration. The position of the sensor in the loading area is also important. The accelerations are not the same at all points in the vehicle. The article deals with the measurement of these dynamic events with MEMS sensors on selected points of a vehicle loaded with cargo and with changes in dynamics after certain events that could occur during regular road transport of cargo to analyze the possibilities for monitoring accelerations and the related forces acting on the cargo during transport. The article uses evaluation times of 80, 300, and 1000 ms for accelerations. With the measured values, it is possible to determine the places with a higher risk of cargo damage and not only to adjust the packaging and securing of the cargo, but also to modify the transport routes. Concerning the purposes of securing the cargo in relation to EN 12195-1 and the minimum values of forces for securing the cargo, we focused primarily on the places where the acceleration of 0.5 g was exceeded when analyzing the monitored route. There were 32 of these points in total, all of which were measured by a sensor located at the rear of the semi-trailer. In 31 cases, the limit of 0.5 g was exceeded for an 80-ms evaluation time, and in one case, the value of 0.51 g was reached in the transverse direction for a 300-ms evaluation time.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Application of MEMS Sensors for Evaluation of the Dynamics for Cargo Securing on Road Vehicles

Gnap

Jagelčák

Marienka

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…These algorithms have been later on improved and replaced with other systems which rely on the a detection based on the car's axle in order to get the best possible results. Such systems have been developed by [45] and [46] all of the previous methods calculate the IRI or International Rough Index. Other variations of the concept have been introduced by [47], (Zhang et.…”

Section: -mentioning

confidence: 99%

A Review on Negative Road Anomaly Detection Methods

2020

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The main limitation to obstacle avoidance nowadays has been negative road anomalies which is the term we used to refer to potholes and cracks due to their negative drop from the surface of the road. This has for long been a limitation because of the fact that they exist in different, random and stochastic shapes. Today's technology lacks the presence of sensors capable of detecting negative road anomalies efficiently as the latter surpasses the sensor's limitations rendering the sensing technique inaccurate. A significant amount of research has been focused on the detection of negative road anomalies due to the fact that this topic is becoming a hot research topic. In this paper, the existing techniques will be reviewed. Their limitations will be highlighted and they will be assessed via certain performance indicators and via some chosen criteria which will be introduced. INDEX TERMS Convolutional neural networks, computer vision, crack detection, deep learning, image processing, image classification, image texture analysis, machine learning algorithm, multi-layer neural networks, negative road anomalies detection, pothole detection, real-time.

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“…In paper [ 16 ], the authors presented a review of literature on the distress and related detection methods. Chiculita and Frangu [ 17 ] developed and studied configuring the accelerometer to measure vehicle vibration in off-line mode. According to their authors, it is supposed to be an alternative to large and expensive measurement systems.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Road Surface Condition with Longitudinal Acceleration Signal of the Car Body

Prażnowski

Mamala

Śmieja

et al. 2020

Sensors

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On the basis of road tests, the authors assessed the feasibility of the vehicle body acceleration values for the purposes of assessing road surface characteristics in terms of its roughness. Short-term Fourier Transform (STFT) was used for the analysis of the recorded signal. The spectra obtained in successive frequency bands demonstrate the amplitudes originating from the natural vibrations of the rolling wheel and forces resulting from the interaction with the road roughness. The article focuses on the relationships between the road roughness and the ratios of individual amplitudes in a specific frequency band of the vehicle body acceleration values. Amplitude values derived on the basis of successive windows were averaged for analogous, arbitrarily assumed local frequency bands. The value characterizing the road surface condition provided the information regarding the mean amplitude value in specific frequency ranges depending on the instantaneous velocity of the car body and the condition of the road surface on which it was moving. In cases where the road was free of any visible roughness, the obtained mean amplitude value in the analyzed spectrum window, for the adopted vehicle velocity range from 50 km h to 100 km/h, did not exceed 0.02 m/s2. It was also demonstrated that the road surface roughness leads to an increase in the mean amplitude value from 0.07 m/s2 to 0.16 m/s2.

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A low-cost car vibration acquisition system

Cited by 5 publications

References 4 publications

Application of MEMS Sensors for Evaluation of the Dynamics for Cargo Securing on Road Vehicles

Application of MEMS Sensors for Evaluation of the Dynamics for Cargo Securing on Road Vehicles

A Review on Negative Road Anomaly Detection Methods

Assessment of the Road Surface Condition with Longitudinal Acceleration Signal of the Car Body

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